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Trend Analyses of Extreme Precipitation Events in the Yarlung Zangbo River Basin, China Using a High-Resolution Precipitation Product

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  • Jiao Fan

    (College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China
    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Xinjiekouwai Street 19, Beijing 100875, China)

  • Wenchao Sun

    (College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China
    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Xinjiekouwai Street 19, Beijing 100875, China)

  • Yong Zhao

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Baolin Xue

    (College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Xinjiekouwai Street 19, Beijing 100875, China)

  • Depeng Zuo

    (College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Xinjiekouwai Street 19, Beijing 100875, China)

  • Zongxue Xu

    (College of Water Sciences, Beijing Normal University, Xinjiekouwai Street 19, Beijing 100875, China
    Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Xinjiekouwai Street 19, Beijing 100875, China)

Abstract

The Yarlung Zangbo River Basin (YZRB) is an important transboundary river basin in Tibet, China with south Asian countries. Changes in precipitation are important driving factors of river flow changes. Extreme Precipitation Events (EPE), in particular, have serious impacts on human life and sustainable development. The objective of this study is to explore the temporal changes and the spatial distribution of EPE over the YZRB in recent decades using a precipitation product with a 5 km spatial resolution and the Mann–Kendall nonparametric statistical test method. A more thorough understanding of the spatial heterogeneity in precipitation was expected from using this high resolution dataset. At both basin and pixel scale, both annual precipitation amounts and number of rain days had significant upward trends, indicating that the increase in the number of rain days is one possible cause of the annual precipitation amounts increases. The annual precipitation and number of rain days increased significantly in 50.8% and 75.8% of the basin area, respectively. The areas showing upward trends for the two indexes mostly overlapped, supporting the hypothesis that the increasing number of rain days is one possible cause of the increases in annual precipitation in these areas. General precipitation intensity and EPE intensity increased in the Lhasa regions and in the southern part of the lower-reach region. However, the intensity of general precipitation and EPE decreased in the Nyangqu River Basin. A total of 43.0% of the area in the YZRB exhibits significant upward trends in EPE frequency. The contributions of EPE to total rainfall increase significantly in the Lhasa and Shannan regions. Overall, it was shown that the risk of disasters from EPE in the YZRB increases in the eastern middle-reach region and southern lower-reach region.

Suggested Citation

  • Jiao Fan & Wenchao Sun & Yong Zhao & Baolin Xue & Depeng Zuo & Zongxue Xu, 2018. "Trend Analyses of Extreme Precipitation Events in the Yarlung Zangbo River Basin, China Using a High-Resolution Precipitation Product," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1396-:d:144162
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    Citations

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    Cited by:

    1. Mingcheng Du & Jianyun Zhang & Qinli Yang & Zhenlong Wang & Zhenxin Bao & Yanli Liu & Junliang Jin & Cuishan Liu & Guoqing Wang, 2021. "Spatial and temporal variation of rainfall extremes for the North Anhui Province Plain of China over 1976–2018," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2777-2797, February.
    2. Arvind Chandra Pandey & Kavita Kaushik & Bikash Ranjan Parida, 2022. "Google Earth Engine for Large-Scale Flood Mapping Using SAR Data and Impact Assessment on Agriculture and Population of Ganga-Brahmaputra Basin," Sustainability, MDPI, vol. 14(7), pages 1-22, April.
    3. Swatantra Kumar Dubey & JungJin Kim & Syewoon Hwang & Younggu Her & Hanseok Jeong, 2023. "Variability of Extreme Events in Coastal and Inland Areas of South Korea during 1961–2020," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    4. Shanmugam Mohan Kumar & Vellingiri Geethalakshmi & Subbiah Ramanathan & Alagarsamy Senthil & Kandasamy Senthilraja & Kulanthaivel Bhuvaneswari & Ramasamy Gowtham & Balaji Kannan & Shanmugavel Priyanka, 2022. "Rainfall Spatial-Temporal Variability and Trends in the Thamirabharani River Basin, India: Implications for Agricultural Planning and Water Management," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    5. Runze Tong & Wenchao Sun & Quan Han & Jingshan Yu & Zaifeng Tian, 2020. "Spatial and Temporal Variations in Extreme Precipitation and Temperature Events in the Beijing–Tianjin–Hebei Region of China over the Past Six Decades," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    6. Na Zhao & Mingxing Chen, 2021. "A Comprehensive Study of Spatiotemporal Variations in Temperature Extremes across China during 1960–2018," Sustainability, MDPI, vol. 13(7), pages 1-16, March.

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